Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders
Rajwinder Kaur, Arvind Kumar Morya, Parul C Gupta, Sarita Aggarwal, Nitin K Menia, Amanjot Kaur, Sukhchain Kaur, Sony Sinha · 2025
Read Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders by Rajwinder Kaur, Arvind Kumar Morya, Parul C Gupta, Sarita Aggarwal, Nitin K Menia, Amanjot Kaur, Sukhchain Kaur, Sony Sinha (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12400382.txt.
Description
Eight authors wrote a review in two thousand twenty-five on phone apps that use AI to screen and diagnose eye diseases. Deep learning systems now read eye images for diabetic retinopathy, the eye damage caused by diabetes, and for other common disorders such as glaucoma and age-related macular degeneration.
The review sums up the algorithms used for each condition and how well they perform. It also covers prediction of disease before signs appear. Pairing AI with telemedicine could widen access to eye care, the authors argue. They flag the hurdles to real use, which fall hardest on developing countries.
Catalog record
| CREATOR | Rajwinder Kaur, Arvind Kumar Morya, Parul C Gupta, Sarita Aggarwal, Nitin K Menia, Amanjot Kaur, Sukhchain Kaur, Sony Sinha |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 33 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |